Triple

T14315715
Position Surface form Disambiguated ID Type / Status
Subject Munda E354949 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Noro E1093978 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Noro | Statement: [Munda, hasNearbySettlement, Noro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noro
Context triple: [Munda, hasNearbySettlement, Noro]
  • A. Noro chosen
    Noro is a coastal town in the Western Province of the Solomon Islands known primarily as a fishing and industrial center.
  • B. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • C. Norg
    Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
  • D. Awaji
    Awaji is a city located on Awaji Island in Japan, known for its scenic coastal landscapes, agriculture, and role as a gateway between Honshu and Shikoku.
  • E. Naoero
    Naoero is an alternative name for Nauru, a small island country in the central Pacific Ocean known for its phosphate deposits and status as one of the world’s least populous nations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8838e45c819080ee69dd39e3bd43 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c36a8b48190a3987b1026b3da65 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:12 a.m.